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Stem temperature in watershed 27 ridge climate 77 station plot at the Coweeta Hydrologic Laboratory from 1996 to 1999
Tree stem temperature is currently being collected to determine both diurnal and seasonal variation in tree stem temperatures for all species and sizes present at the Coweeta Watershed 27 Ridge Climate 77 Station Plot. The purpose of the data is to characterize the tree stem temperature regimes as they relate to tree stem respiration. Data will continue to be collected until approximately December 1997. Data will then be subsequently summarized and published.
Freshwater Subtropical Ridge and Slough Wetland Metabolism, South Florida, USA: 2014-2016
How climate and habitat drive variation in aquatic metabolism in wetlands remains uncertain. To quantify differences in seasonal aquatic metabolism among wetlands, we estimated aquatic ecosystem metabolism (gross primary productivity, GPP; ecosystem respiration, ER; net aquatic productivity, NAP) in subtropical ridge and slough wetlands of the Florida Everglades from more than 2 years of continuously measured water column dissolved oxygen (DO), photosynthetically active radiation (PAR), water temperature, and water depth. GPP and ER were modeled from light, temperature, and water depth using non-linear minimization and maximum likelihood. Reaeration rates were estimated from wind speed. Dissolved oxygen was below saturation at all sites during both wet and dry seasons. Water depth interacted with vegetation to influence PAR, water temperature, and spatiotemporal patterns in aquatic metabolism. GPP and ER were highest at the slough with lowest submerged aquatic vegetation (low-SAV slough), intermediate in the sawgrass (Cladium jamaicense) ridge site, and lowest at the slough with lowest submerged aquatic vegetation (high-SAV slough). ER was strongly positively correlated with GPP at the sawgrass ridge and low-SAV slough sites. GPP increased with water temperature and PAR across all habitat types, whereas ER decreased (more respiration) with water temperature and PAR. NAP was negatively correlated with water temperature and positively correlated with PAR, suggesting that ER was more sensitive than GPP to water temperature. Aquatic metabolism was largely net heterotrophic in all wetlands, and high-SAV appeared to buffer seasonal variation in PAR and water temperatures that drive NAP in subtropical wetlands. Our results suggest that aquatic ecosystem metabolism in wetlands with seasonal hydrology is sensitive to changes in water depth and vegetation density that influence temperature and light. Expanding our understanding of how metabolic processes and carbon cycling in
Physiological stress of pika for Niwot Ridge, Green Lakes Valley and Brainard Lake Recreation Area, 2017
During the spring and fall of 2017 we collected fecal samples to evaluate physiological stress within American pika (Ochotona princeps) populations occupying different sites on and near Niwot Ridge. By using non-invasive methods to collect fecal samples from pikas in the field, we were able to measure baseline stress hormone (glucocorticoid) metabolites in individuals. Fresh fecal samples deposited in traps by trapped pikas were paired with fresh fecal samples collected from the territory in which the same pika was trapped. Fresh fecal samples were also collected from plot surveys and other locations during the 2017 Niwot Ridge pika survey. Along with pika occupancy surveys, surveys of physiological stress have the potential to explain patterns of pika distribution across the landscape.
Black Sand pilot experiment for speeding snowmelt on Niwot Ridge for summer 2015
We piloted using black sand as a method for speeding snowmelt on Niwot Ridge in the summer of 2015. At each of two sites (Trough and Tvan), two 2x2 m plots were set up and two 3x3m plots were set up, with one of each size plot receiving 600 g/m2 black sand and one receiving 800 g/m2 of black sand. The sand treatments sped snowmelt by 6-9 days. Initially, soil moisture appeared to be slightly lower in the sand plots and soil temperature appeared to be slightly higher, but these effects disappeared by July.
Tree cone presence and abundance from Niwot Ridge, Rollins Pass, and Rocky Mountain National Park, 2015-2018.
These data were collected to examine the determinants of individual tree cone presence and cone abundance for Engelmann spruce (Picea engelmannii) and subalpine fir (Abies lasiocarpa) in the southern Rocky Mountains, USA. We monitored > 1600 Engelmann spruce and subalpine fir trees for cone presence (an indicator of reproductive maturity) and a subset of those trees for cone abundance (an indicator of seed production) from 2016-2018 in the Colorado Front Range. Cone presence was observed in 1-3 years (2015 or 2016-2018) in 15 plots and cone abundance was observed in 10 of 15 plots in three years (2016-2018). We measured the following for > 24 live trees for each species in each plot: cone presence and/or cone abundance, diameter at breast height, age, height class. For each plot, we measured stand density, basal area, and age of oldest tree to estimate the timing of stand initiation. This database includes three datasets: 1) description of plots (e.g. elevation, aspect, size), 2) cone presence data, and cone abundance data. See Andrus et al. 2020 for more details. References Andrus, R. A., Harvey, B. J., Hoffman, A., and Veblen, T. T.. 2020. Reproductive maturity and cone abundance vary with tree size and stand basal area for two widely distributed conifers. Ecosphere 11( 5):e03092. 10.1002/ecs2.3092
Niwot Ridge saddle 1:500 integrated terrain unit map (ITUM).
A 350 x 500 m integrated terrain unit map (ITUM) was produced at 1:500 scale inside the 350 x 500 m saddle grid, and the 1:500 digital elevation model (DEM). Vegetation was mapped using Komarkova's (1979) classification system (Braun-Blanquet) units. All map units were mapped to 1g8-inch minimum map-polygon-size resolution. The map is part of the Saddle grid geographic information system (GIS). Many GIS projects use an approach in which existing mapped information is digitized into the GIS database directly from the original sources. The maps may have different map scale, map-unit resolutions, dates of data collection, and classification systems. When these different sources are combined in a GIS, artifacts may arise due to boundary mismatches and scale incompatibility (Dangermond and Harnden 1990). Integrated geobotanical mapping can minimize many of these problems. This method simultaneously maps vegetation and other terrain features that are interpreted on a common air-photo base (Everett et al. 1978, Walker et al. 1980). We use the term geobotany in its traditional European sense to refer to the study of plant communities and their relationships to geology, landforms, and soils (Braun-Blanquet 1932). Terrain geomorphic boundaries are used to guide the delineation on aerial photographs of most major vegetation boundaries similiar to the landscape-guided vegetation mapping approach developed in Europe (Zonneveld 1988) and the integrated terrain unit mapping approach developed by the Environmental System Research Institute in Redlands, CA (Dangermond and Harnden 1990). Additional information concerning the Niwot Ridge LTER GIS can be found in Walker et al. (1993).
High-Resolution Orthorectified Imagery from 1938, Niwot Ridge LTER Project Area, Colorado
Citation: Manley, W.F., Parrish, E.G., and Lestak, L.R., 2009, High-Resolution Orthorectified Imagery and Digital Elevation Models for Study of Environmental Change at Niwot Ridge and Green Lakes Valley, Colorado: Niwot Ridge LTER, INSTAAR, University of Colorado at Boulder, digital media. This image is a mosaic of orthorectified aerial photography from 1938 for the Niwot Ridge Long Term Ecological Research (LTER) project area at 0.3 m resolution. The 1946 companion mosaic covers the western portion of the Niwot LTER and Green Lakes Valley portion of the Boulder Creek Critical Zone Observatory (CZO) project area and was produced with maximum overlap of the 1938 mosaic. The mosaic has the qualities of a photograph and the functionality of a map layer for use in Geographic Information Systems (GIS) or remote sensing software. The mosaic is derived from approx. 1:20,000 scale, black and white (grayscale) photographs acquired by the United States Forest Service (USFS). The aerial photos were obtained as 1800 dpi digital scans from the Colorado Aerial Photo Service and then fully orthorectified in a Leica Photogrammetry Suite (LPS) bundle blockfile using a non-metric camera model, estimated focal length, calculated flying height and no fiducials. Individual photo frames were mosaiced with cutlines, then adjusted with additional geocorrection in ArcMap using a 3rd order polynomial warp, and clipped to the Niwot project extent area. The photography was registered to 2008 orthocorrected Denver Region Council of Governments (DRCOG) aerial photography. Horizontal accuracy is 7.0 m (RMSE, relative to the 2008 reference imagery, based on 4 independent check points). The mosaic covers an area of 55 km2 and is available in GeoTIFF format, in a UTM zone 13 projection and NAD83 horizontal datum, with FGDC-compliant metadata. The mosaic is available through an unrestricted public license, and can be obtained by request (see Distributor contact information below). Other datasets avai
High-Resolution Orthorectified Imagery from 1946, Niwot Ridge LTER Project Area, Colorado
Citation: Manley, W.F., Parrish, E.G., and Lestak, L.R., 2009, High-Resolution Orthorectified Imagery and Digital Elevation Models for Study of Environmental Change at Niwot Ridge and Green Lakes Valley, Colorado: Niwot Ridge LTER, INSTAAR, University of Colorado at Boulder, digital media. This image is a mosaic of orthorectified aerial photography from 1946 for the Niwot Ridge Long Term Ecological Research (LTER) project area at 0.3 m resolution. The image also covers the Green Lakes Valley portion of the Boulder Creek Critical Zone Observatory (CZO). The 1938 companion mosaic covers the eastern portion of the Niwot LTER project area and was produced with maximum overlap of the 1946 mosaic. The mosaic has the qualities of a photograph and the functionality of a map layer for use in Geographic Information Systems (GIS) or remote sensing software. The mosaic is derived from approx. 1:20,000 scale, black and white (grayscale) photographs acquired by the United States Forest Service (USFS). The aerial photos were obtained as 1800 dpi digital scans from the Colorado Aerial Photo Service and then fully orthorectified in a Leica Photogrammetry Suite (LPS) bundle blockfile using an air-photo camera model, a Digital Elevation Model (DEM), known focal length, and hand-measured fiducial coordinates. Individual photo frames were mosaiced with cutlines, then adjusted with additional geocorrection in ArcMap using a 2nd order polynomial warp, and clipped to the Niwot project extent area. The photography was registered to 2008 orthocorrected Denver Region Council of Governments (DRCOG) aerial photography. Horizontal accuracy is 1.8 m (RMSE, relative to the 2008 reference imagery, based on 6 independent check points). The mosaic covers an area of 63 km2 and is available in GeoTIFF format, in a UTM zone 13 projection and NAD83 horizontal datum, with FGDC-compliant metadata. The mosaic is available through an unrestricted public license, and can be obtained by request (see Distributo
High-Resolution Orthorectified Imagery from 1953, Niwot Ridge LTER Project Area, Colorado
Manley, W.F., Parrish, E.G., and Lestak, L.R., 2009, High-Resolution Orthorectified Imagery and Digital Elevation Models for Study of Environmental Change at Niwot Ridge and Green Lakes Valley, Colorado: Niwot Ridge LTER, INSTAAR, University of Colorado at Boulder, digital media. This image is a mosaic of orthorectified aerial photography from 1953 for the Niwot Ridge Long Term Ecological Research (LTER) project area at 0.7 m resolution. The image also covers the Green Lakes Valley portion of the Boulder Creek Critical Zone Observatory (CZO). The mosaic has the qualities of a photograph and the functionality of a map layer for use in Geographic Information Systems (GIS) or remote sensing software. The mosaic is derived from approx. 1:45,000 scale, black and white (grayscale) photographs acquired by the United States Geological Survery (USGS). The aerial photos were obtained as 1800 dpi digital scans from the USGS EROS Data Center (EDC) and then fully orthorectified in a Leica Photogrammetry Suite (LPS) bundle blockfile using an air-photo camera model, a Digital Elevation Model (DEM), known focal length, and hand-measured fiducial coordinates. Individual photo frames were mosaiced with cutlines and clipped to the Niwot project extent area. The photography was registered to 2008 orthocorrected Denver Region Council of Governments (DRCOG) aerial photography. Horizontal accuracy is 1.5 m (RMSE, relative to the 2008 reference imagery, based on 9 independent check points). The mosaic covers an area of 98 km2 and is available in GeoTIFF format, in a UTM zone 13 projection and NAD83 horizontal datum, with FGDC-compliant metadata. The mosaic is available through an unrestricted public license, and can be obtained by request (see Distributor contact information below). Other datasets available in this series includes orthorectified aerial photograph mosaics (for 1972, 1985, 1990, 1999, 2000, 2002, 2004, 2006 and 2008), digital elevation models (DEM's), and accessory map layer
High-Resolution Orthorectified Imagery from 1972, Niwot Ridge LTER Project Area, Colorado
Citation: Manley, W.F., Parrish, E.G., and Lestak, L.R., 2009, High-Resolution Orthorectified Imagery and Digital Elevation Models for Study of Environmental Change at Niwot Ridge and Green Lakes Valley, Colorado: Niwot Ridge LTER, INSTAAR, University of Colorado at Boulder, digital media. This image is a mosaic of orthorectified aerial photography from 1972 for the Niwot Ridge Long Term Ecological Research (LTER) project area at 0.8 m resolution. The image also covers the Green Lakes Valley portion of the Boulder Creek Critical Zone Observatory (CZO). The mosaic has the qualities of a photograph and the functionality of a map layer for use in Geographic Information Systems (GIS) or remote sensing software. The mosaic is derived from approx. 1:55,000 scale, color infrared (CIR) photographs acquired by the National Aeronautics and Space Administration (NASA). The aerial photos were obtained as 1800 dpi digital scans from the USGS EROS Data Center (EDC) and then fully orthorectified in a Leica Photogrammetry Suite (LPS) bundle blockfile using an air-photo camera model, a Digital Elevation Model (DEM), estimated focal length, and hand-measured fiducial coordinates. Individual photo frames were mosaiced with cutlines and clipped to the Niwot project extent area. The photography was registered to 2008 orthocorrected Denver Region Council of Governments (DRCOG) aerial photography. Horizontal accuracy is 1.7 m (RMSE, relative to the 2008 reference imagery, based on 9 independent check points). The mosaic covers an area of 77 km2 and is available in GeoTIFF format, in a UTM zone 13 projection and NAD83 horizontal datum, with FGDC-compliant metadata. The mosaic is available through an unrestricted public license, and can be obtained by request (see Distributor contact information below). Other datasets available in this series includes orthorectified aerial photograph mosaics (for 1953, 1985, 1990, 1999, 2000, 2002, 2004, 2006 and 2008), digital elevation models (DEM's), and
High-Resolution Orthorectified Imagery from 1985, Niwot Ridge LTER Project Area, Colorado
Citation: Manley, W.F., Parrish, E.G., and Lestak, L.R., 2009, High-Resolution Orthorectified Imagery and Digital Elevation Models for Study of Environmental Change at Niwot Ridge and Green Lakes Valley, Colorado: Niwot Ridge LTER, INSTAAR, University of Colorado at Boulder, digital media. This image is a mosaic of orthorectified aerial photography from 1985 for the Niwot Ridge Long Term Ecological Research (LTER) project area at 0.8 m resolution. The image also covers the Green Lakes Valley portion of the Boulder Creek Critical Zone Observatory (CZO). The mosaic has the qualities of a photograph and the functionality of a map layer for use in Geographic Information Systems (GIS) or remote sensing software. The mosaic is derived from approx. 1:58,000 scale, color infrared (CIR) photographs acquired by the United States Geological Survery (USGS) National High Altitude Photography Program (NHAP). The aerial photos were obtained as 1800 dpi digital scans from the USGS EROS Data Center (EDC) and then fully orthorectified in a Leica Photogrammetry Suite (LPS) bundle blockfile using an air-photo camera model, a Digital Elevation Model (DEM), and known focal length and fiducial coordinates from a calibration report. Individual photo frames were mosaiced with cutlines and clipped to the Niwot project extent area. The photography was registered to 2008 orthocorrected Denver Region Council of Governments (DRCOG) aerial photography. Horizontal accuracy is 1 m (RMSE, relative to the 2008 reference imagery, based on 9 independent check points). The mosaic covers an area of 98 km2 and is available in GeoTIFF format, in a UTM zone 13 projection and NAD83 horizontal datum, with FGDC-compliant metadata. The mosaic is available through an unrestricted public license, and can be obtained by request (see Distributor contact information below). Other datasets available in this series includes orthorectified aerial photograph mosaics (for 1953, 1972, 1990, 1999, 2000, 2002, 2004, 2006 an
High-Resolution Orthorectified Imagery from Approximately 1990, Niwot Ridge LTER Project Area, Colorado
Citation: Manley, W.F., Parrish, E.G., and Lestak, L.R., 2009, High-Resolution Orthorectified Imagery and Digital Elevation Models for Study of Environmental Change at Niwot Ridge and Green Lakes Valley, Colorado: Niwot Ridge LTER, INSTAAR, University of Colorado at Boulder, digital media. This image is a mosaic of orthorectified aerial photography from 1988 and 1990 for the Niwot Ridge Long Term Ecological Research (LTER) project area at 0.6 m resolution. The image also covers the Green Lakes Valley portion of the Boulder Creek Critical Zone Observatory (CZO). The mosaic has the qualities of a photograph and the functionality of a map layer for use in Geographic Information Systems (GIS) or remote sensing software. The mosaic is derived from approx. 1:40,000 scale, color infrared (CIR) photographs acquired by the United States Geological Survery (USGS) National Aerial Photography Program (NAPP). The aerial photos were obtained as 1800 dpi digital scans from the USGS EROS Data Center (EDC) and then fully orthorectified in a Leica Photogrammetry Suite (LPS) bundle blockfile using an air-photo camera model, a Digital Elevation Model (DEM), and known focal length and fiducial coordinates from a calibration report. Individual photo frames were mosaiced with cutlines and clipped to the Niwot project extent area. The photography was registered to 2008 orthocorrected Denver Region Council of Governments (DRCOG) aerial photography. Horizontal accuracy is 0.9 m (RMSE, relative to the 2008 reference imagery, based on 9 independent check points). The mosaic covers an area of 98 km2 and is available in GeoTIFF format, in a UTM zone 13 projection and NAD83 horizontal datum, with FGDC-compliant metadata. The mosaic is available through an unrestricted public license, and can be obtained by request (see Distributor contact information below). Other datasets available in this series includes orthorectified aerial photograph mosaics (for 1953, 1972, 1985, 1999, 2000, 2002, 2004, 200
Digital Orthophoto Quarter-Quadrangles from 1999, Niwot Ridge LTER Project Area, Colorado
(SEE SUPPLEMENTAL INFORMATION SECTION FOR FILE-SPECIFIC INFORMATION.)Digital orthophoto quarter-quads are now available for most of the United States and its Territories. Quarter-quad DOQs cover an area measuring 3.75-minutes longitude by 3.75-minutes latitude. Quarter-quad DOQs are available in both Native and GeoTIFF formats. Native format consists of an ASCII keyword header followed by a series of 8-bit binary image lines for B/W and 24-bit band-interleaved-by-pixel (BIP) for color. DOQs in native format are cast to the Universal Transverse Mercator (UTM) projection and referenced to either the North American Datum (NAD) of 1927 (NAD27) or the NAD of 1983 (NAD83). GeoTIFF format consists of a georeferenced Tagged Image File Format (TIFF), with all geographic referencing information embedded within the .tif file. DOQs in GeoTIFF format are cast to the UTM projection and referenced to NAD83. The average file size of a B/W quarter quad is 40-45 megabytes, and a color file is generally 140-150 megabytes. Quarter-quad DOQs are distributed on CD-ROM, DVD, and File Transfer Protocol (FTP) as uncompressed files.A downloadable software is available (DOQQ-to-GeoTIFF conversion) which will convert a DOQ image from Native to GeoTIFF format in either NAD27 or NAD83. NOTE: This EML metadata file does not contain important geospatial data processing information. Before using any NWT LTER geospatial data read the arcgis metadata XML file in either ISO or FGDC compliant format, using ArcGIS software (ArcCatalog > description), or by viewing the .xml file provided with the geospatial dataset.
DRAPP04 Orthophotography from 2004, Niwot Ridge LTER Project Area, Colorado
Digital Orthoimagery for the Denver metropolitan Region. NOTE: This EML metadata file does not contain important geospatial data processing information. Before using any NWT LTER geospatial data read the arcgis metadata XML file in either ISO or FGDC compliant format, using ArcGIS software (ArcCatalog > description), or by viewing the .xml file provided with the geospatial dataset.
DRAPP Orthophotography from 2006, Niwot Ridge LTER Project Area, Colorado
Digital orthoimagery for the Denver metropolitan region. NOTE: This EML metadata file does not contain important geospatial data processing information. Before using any NWT LTER geospatial data read the arcgis metadata XML file in either ISO or FGDC compliant format, using ArcGIS software (ArcCatalog > description), or by viewing the .xml file provided with the geospatial dataset.
High-Resolution Orthorectified Imagery from 1999, Niwot Ridge LTER Green Lakes Valley Project Area, Colorado
The 1:12,000 photos were flown by Rocky Mountain Aerial, the LTER project manager is Don Cline. The Green Lakes Valley orthophoto was produced using 8 black and white photograph stereopair diapositives, flown at 1:12,000 scale in September, 1994 by Rocky Mountain Aerial, Denver, Colorado. Two flightlines were used to create this orthophoto, as there was not enough information in one flightline to include the entire GLV watershed. The diapositives were scanned in using ASIs high resolution drum scanner. An evenly spaced 25-m cellsize DEM was created from dtm.xyz using the outer boundary of the photographs. This DEM was used to register the 1:12,000 stereopairs to the UTM coordinate system with a horizontal location accuracy of 25-m. Once the 1:12,000 photographs were registered and rectified a .5-m cellsize digital orthophoto was produced for the Green Lakes Valley. There were a few problems with orthophoto generation in this area, mostly because of the steep terrain. Firstly, the stereopairs were NOT flown to generate othophotos, they were flown to generate DEMs. Because of this there was not enough overlap for generation of a seamless orthophoto. As the photos were warped to fit a planimetric base, there were a few areas with no data in the middle of the orthophoto. These areas were minimized because of ASIs expertise, but they show up as small black bars in the middle of the orthophoto. There are also some layover problems because of the steep terrain. This is caused by a steep mountain on the edge of the photo that lays over in one direction on one photo and lays over in another direction on the photo beside it. NOTE: This EML metadata file does not contain important geospatial data processing information. Before using any NWT LTER geospatial data read the arcgis metadata XML file in either ISO or FGDC compliant format, using ArcGIS software (ArcCatalog > description), or by viewing the .xml file provided with the geospatial dataset.
High-Resolution Orthorectified Imagery from 1999, Resampled to 10 meter, Niwot Ridge LTER Green Lakes Valley Project Area, Colorado
Orthophoto has been resampled to 10 meter. The 1:12,000 photos were flown by Rocky Mountain Aerial, the LTER project manager is Don Cline. The Green Lakes Valley orthophoto was produced using 8 black and white photograph stereopair diapositives, flown at 1:12,000 scale in September, 1994 by Rocky Mountain Aerial, Denver, Colorado. Two flightlines were used to create this orthophoto, as there was not enough information in one flightline to include the entire GLV watershed. The diapositives were scanned in using ASIs high resolution drum scanner. An evenly spaced 25-m cellsize DEM was created from dtm.xyz using the outer boundary of the photographs. This DEM was used to register the 1:12,000 stereopairs to the UTM coordinate system with a horizontal location accuracy of 25-m. Once the 1:12,000 photographs were registered and rectified a .5-m cellsize digital orthophoto was produced for the Green Lakes Valley. There were a few problems with orthophoto generation in this area, mostly because of the steep terrain. Firstly, the stereopairs were NOT flown to generate othophotos, they were flown to generate DEMs. Because of this there was not enough overlap for generation of a seamless orthophoto. As the photos were warped to fit a planimetric base, there were a few areas with no data in the middle of the orthophoto. These areas were minimized because of ASIs expertise, but they show up as small black bars in the middle of the orthophoto. There are also some layover problems because of the steep terrain. This is caused by a steep mountain on the edge of the photo that lays over in one direction on one photo and lays over in another direction on the photo beside it. NOTE: This EML metadata file does not contain important geospatial data processing information. Before using any NWT LTER geospatial data read the arcgis metadata XML file in either ISO or FGDC compliant format, using ArcGIS software (ArcCatalog > description), or by viewing the .xml file provided with the geospa
Source Index Map Layer for High-Resolution Orthorectified Imagery from Approximately 1990, Niwot Ridge LTER Project Area, Colorado
Citation Manley, W.F., Parrish, E.G., and Lestak, L.R., 2009, High-Resolution Orthorectified Imagery and Digital Elevation Models for Study of Environmental Change at Niwot Ridge and Green Lakes Valley, Colorado: Niwot Ridge LTER, INSTAAR, University of Colorado at Boulder, digital media. This vector shapefile is a source index map layer for the mosaic of orthorectified aerial photography from 1988 and 1990 for the Niwot Ridge Long Term Ecological Research (LTER) project. The index also covers the Green Lakes Valley portion of the Boulder Creek Critical Zone Observatory (CZO). The index polygons are attributed with source photo date and photo year. The mosaic is derived from approx. 1:40,000 scale, color infrared (CIR) photographs acquired by the United States Geological Survery (USGS) National Aerial Photography Program (NAPP). Other datasets available in this series includes orthorectified aerial photograph mosaics (for 1953, 1972, 1985, approximately 1990, 1999, 2000, 2002, 2004, 2006 and 2008), digital elevation models (DEM's), and accessory map layers. Together, the DEM's and imagery will be of interest to students, research scientists, and others for observation and analysis of natural features and ecosystems. NOTE: This EML metadata file does not contain important geospatial data processing information. Before using any NWT LTER geospatial data read the arcgis metadata XML file in either ISO or FGDC compliant format, using ArcGIS software (ArcCatalog > description), or by viewing the .xml file provided with the geospatial dataset.
National Agriculture Imagery Program (NAIP) Orthoimagery from 2005, Niwot Ridge LTER Project Area, Colorado
This data set contains imagery from the National AgriculturalImagery Program (NAIP). NAIP acquires digital ortho imageryduring the agricultural growing seasons in the continental U.S..A primary goal of the NAIP program is to enable availabilty ofortho imagery within a year of acquisition. NAIP provides twomain products: 1 meter ground sample distance (GSD) orthoimagery rectified to a horizontal accuracy of within +/- 5meters of reference digital ortho quarter quads (DOQQS) fromthe National Digital Ortho Program (NDOP); and, 2 meter GSDortho imagery rectified to within +/- 10 meters of referenceDOQQs. The tiling format of NAIP imagery is based on a 3.75'x 3.75' quarter quadrangle with a 360 meter buffer on all foursides. NAIP quarter quads are rectified to the UTM coordinatesystem NAD83. NAIP imagery can obtain as much as 10% cloudcover per tile. NOTE: This EML metadata file does not contain important geospatial data processing information. Before using any NWT LTER geospatial data read the arcgis metadata XML file in either ISO or FGDC compliant format, using ArcGIS software (ArcCatalog > description), or by viewing the .xml file provided with the geospatial dataset.
High-Resolution Orthorectified Imagery from 2008, Niwot Ridge LTER Project Area, Colorado
This image tile is part of an orthophotography project covering contiguous areas of interest in and adjacent to the jurisdictional boundary of the Denver Region Council of Governments (DRCOG) in central Colorado. The project is known as the Denver Region Aerial Photography Project (DRAPP) begun and completed in 2008. The tiles are images which depict color digital aerial photographs acquired in the spring of 2008 during leaf-off conditions and in early summer of 2008 over mountainous areas to minimize snow cover. Lens and terrain distortion have been removed and tonal differences between adjacent images have been minimized to form a mosaic of the entire project area. The project area includes The Denver Metropolitan area and both eastern plains and western mountains adjacent to the metro area. Orthorectified imagery is assumed to depict features at ground level, so above ground features may show some distortion from elevation. The only exceptions to this are bridges and elevated roads, which have been checked for distortion and manually replaced by their previous unrectified versions. Each orthorectified pixel is exactly one half foot square in the metro area and one foot square in the plains and mountain areas. Quality and accuracy of this orthophotography was evaluated independently. The image products conform to American Society for Photogrammetry and Remote Sensing (ASPRS) Class I Standards for 1"=200' horizontal mapping. NOTE: This EML metadata file does not contain important geospatial data processing information. Before using any NWT LTER geospatial data read the arcgis metadata XML file in either ISO or FGDC compliant format, using ArcGIS software (ArcCatalog > description), or by viewing the .xml file provided with the geospatial dataset.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.